As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
The particle swarm optimization(PSO) algorithm, is used to train neural network to solve the drawbacks of BP algorithms which is local minimum and slow convergence.
针对多层前馈网络的误差反传算法存在的收敛速度慢，且易陷入局部极小的缺点，提出了采用微粒群算法（PSO）训练多层前馈网络权值的方法。
And, in FNN weight training, improved PSO in the convergence rate and the ability to jump out to local optimum algorithm is better than BP.
且改进的粒子群算法在模糊神经网络权值的训练中收敛速度和跳出局部最优的能力都要比BP算法更优。
It is confirmed that PSO could overcome intrinsic shortcomings of BP neural network, including low learning efficiency, slow convergence rate, being easy to fall into local minima, etc.
经验证(PSO)优化算法可以有效地克服BP神经网络存在的学习效率低，收敛速度慢以及容易陷入局部极小点等固有缺点。
The new model was based on the weight adjustments of error back propagation of BP algorithm and the weight modification using particle swarm optimization (PSO).
提出一种基于粒子群算法优化BP网络的权值调整新方法。
Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization (PSO).
二是利用基于粒子群算法(PSO)优化的BP神经网络进行异步电机故障诊断。
Simulation results reveal that the proposed recognition technique based on PSO has higher precision of recognition and better convergence than those based on BP algorithm.
仿真试验表明，利用P SO算法实现弹道辨识比BP算法辨识精度高，收敛性好。
Simulation results reveal that the proposed recognition technique based on PSO has higher precision of recognition and better convergence than those based on BP algorithm.
仿真试验表明，利用P SO算法实现弹道辨识比BP算法辨识精度高，收敛性好。
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